Special Issue on Hydrogen-Integrated Energy Systems: Market Mechanisms, Intelligent Optimization, and Resilient Operation
Published 03 November, 2026
1. Special Issue Description
The global transition toward low-carbon energy systems, driven by ambitious decarbonization targets and the large-scale integration of renewable energy, has accelerated the development of hydrogen as a key energy carrier. The coupling of hydrogen with electricity, heating, transportation, and industrial systems introduces new challenges in infrastructure planning, coordinated operation, market design, risk management, and resilience enhancement.
Emerging technologies and mechanisms, including Artificial Intelligence, advanced energy markets, digital twins, and quantum computing, offer new opportunities for addressing these challenges. Recent progress in machine learning, reinforcement learning, physics-informed AI, hybrid quantum-classical optimization, and risk-aware decision-making provides promising pathways for the intelligent planning, secure operation, flexible trading, and resilient management of hydrogen-integrated energy systems.
To this end, Global Energy Interconnection has invited Prof. Dr. Hossein Farahmand at Norwegian University of Science and Technology (NTNU), Norway, Asst. Prof. Dr. Zhengmao Li (Tenure Track) at Aalto University, Finland, and Dr. Sanchari Deb (Academic Track Faculty) at Newcastle University. They will organize a special issue for the June 2027 edition, titled "Hydrogen-Integrated Energy Systems: Market Mechanisms, Intelligent Optimization, and Resilient Operation". We sincerely invite submissions from scholars worldwide. This Special Issue aims to bring together cutting-edge theoretical developments and practical engineering applications on market mechanisms, intelligent optimization, and resilient operation of hydrogen-integrated energy systems, fostering interdisciplinary research and international collaboration.
2. Journal Introduction
Since its launch in 2018, Global Energy Interconnection is published globally in partnership with Elsevier, and has been indexed by authoritative international databases including ESCI (JCR Q2, IF 3.9), EI, Scopus (Q1). It has been listed in the T2 category for the Energy and Power field in the High-Quality Sci-Tech Journal Grading Catalogue of the China Association for Science and Technology, and has been honored as a "Leading International Impact Academic Journal of China".
3. Scope of Contributions
Topics of interest for this special issue include, but are not limited to:
Planning and Operation of Hydrogen-Integrated Energy Systems: Coordinated planning and optimal allocation of renewable generation, electrolyzers, fuel cells, hydrogen storage, and transportation infrastructure; Multi-timescale scheduling of electricity-hydrogen-heat-gas integrated energy systems; Optimal operation of hydrogen-enabled microgrids, industrial parks, ports, transportation systems, and energy communities.
Hydrogen Production, Storage, and Supply Chain Management: Flexible operation of renewable-powered water electrolysis and power-to-hydrogen facilities; Planning and management of short- and long-duration hydrogen storage; Coordinated optimization of hydrogen production, compression, transportation, refuelling, and consumption; Design and operation of regional and cross-border hydrogen supply chains.
Hydrogen Markets and Low-Carbon Economic Mechanisms: Hydrogen pricing, market clearing, and trading mechanisms; Coordinated electricity, hydrogen, carbon, and ancillary-service markets; Peer-to-peer energy and hydrogen trading; Game-theoretic decision-making, benefit allocation, contract design, and demand response; Techno-economic assessment and innovative business models for hydrogen projects.
AI and Data-Driven Methods for Hydrogen Energy Systems: Machine learning-based forecasting of renewable generation, hydrogen demand, energy prices, and equipment conditions; Reinforcement learning for real-time scheduling, control, and energy management; Physics-informed AI for interpretable and physically consistent decision-making; Large language models, knowledge graphs, and generative AI for hydrogen-system operation, maintenance, and human–machine interaction.
Quantum Computing and Advanced Optimization Methods: Quantum and hybrid quantum-classical algorithms for hydrogen-system planning, scheduling, and market optimization; Quantum machine learning for forecasting, system identification, and operational decision-making; Distributed, decomposition-based, stochastic and robust optimization methods; Computational benchmarking and practical evaluation of advanced algorithms for large-scale hydrogen applications.
Reliability, Safety, and Resilience of Hydrogen Energy Systems: Reliability assessment and resilience-oriented planning of hydrogen-integrated energy systems; Secure operation under extreme weather, equipment failures, cyberattacks, and supply disruptions; Effects of electrolysis, storage, and flexible demand on adequacy, balancing, congestion, reserves, and ancillary-service markets; Coordinated prevention, emergency response, restoration, and black-start strategies; Digital twins, predictive maintenance, fault diagnosis, safety monitoring, and cyber-physical security of hydrogen infrastructure.
4. Important Dates
- Full Paper Submission Deadline: April 1, 2027
- Expected Special Issue Online Publication: June 25, 2027
5. Submission Guidelines
Submission System: https://www.editorialmanager.com/gloei/
ScienceDirect Access: https://www.sciencedirect.com/journal/global-energy-interconnection
Manuscript Template: https://www.elsevier.com/__data/promis_misc/GEI%20Template.doc
Please note in your submission: Special Issue + "Hydrogen-Integrated Energy Systems"
6. Guest Editor-in-Chief
Hossein Farahmand
Hossein Farahmand is a Professor in the Department of Electric Energy at the Norwegian University of Science and Technology (NTNU), Norway, where he leads the Electricity Markets and Energy Systems Planning (EMESP) research group. His research focuses on power-system economics, electricity-market design, hydropower scheduling, power-system balancing, demand flexibility, and local flexibility markets, with particular emphasis on integrating renewable energy and sector-coupled resources into secure and efficient energy systems. He is also a Scientific Advisor at SINTEF Energy Research and contributes to national and international initiatives on smart grids, flexibility, and the energy transition. He is a Senior Member of IEEE, an active member of IEA Wind Task 25, and represents Norway in the International Smart Grid Action Network (ISGAN) working group on flexibility-market design. He serves as an Associate Editor of IEEE Transactions on Energy Markets, Policy and Regulation. In 2025, NTNU recognized him as an Excellent Teaching Practitioner for his contributions to research-based and student-centered education.
Zhengmao Li
Zhengmao Li is currently an Assistant Professor (Tenure Track) in the School of Electrical Engineering at Aalto University, Finland. He has long been engaged in interdisciplinary research at the intersection of artificial intelligence and energy systems. His research interests cover optimal operation of multi‑energy systems, electricity‑hydrogen coupling systems, energy system resilience, and market mechanisms, with a commitment to enhancing the security and economy of energy systems through advanced optimization methods and AI technologies. He has published numerous papers in journals such as IEEE Transactions on Smart Grid and Applied Energy, and his related achievements have been featured in the IEEE Innovation Spotlight. He serves on the editorial boards of several international journals and actively promotes academic exchange and industry‑university collaboration in the AI+energy field. He has been honored with the Forbes Top 100 Overseas Chinese Elite and the Top 10 Chinese Scientific and Technological Leaders in Europe awards
Sanchari Deb
Dr. Sanchari Deb is a Newcastle Academic Track (NUAcT) faculty member at Newcastle University, where she leads pioneering research on electric mobility and sustainable energy systems. She earned her PhD from the Indian Institute of Technology Guwahati in 2020, focusing on EV charging infrastructure planning, which positioned her as a rising scholar in e-mobility and intelligent energy systems. Her research integrates power engineering, AI, transport systems, and urban sustainability, spanning EV charging infrastructure planning, machine learning and optimization for power systems, microgrids and local energy systems, vehicle–grid integration, and emerging areas such as quantum computing in energy, while bridging methodological advances with real-world system design to address technical, spatial, and societal challenges of large-scale transportation electrification. Internationally, she has worked on vehicle–grid integration at the Alliance for an Energy Efficient Economy in New Delhi, held an ERCIM Fellowship at VTT Technical Research Centre of Finland and a Marie Skłodowska-Curie Fellowship at the University of Warwick, and in 2022 received the competitive NUAcT Fellowship at Newcastle University, where her current programme—Accessible, Smart and Sustainable Charging Infrastructure—advances interdisciplinary approaches for equitable, future-ready urban e-mobility. Beyond research, she actively advocates for Equality, Diversity, and Inclusion in engineering and received the EPSRC EDI in Energy Fellowship in 2023.
7. Editorial Office Contact Information
Editor: Dr. Yajun Zou
Tel: +86-10-63411713
Email: yajun-zou@geidco.org